2 papers
cs.IR2026
KoViDoRe: Korean Visual Document Retrieval
Yongbin Choi, Yongwoo Song, Mujeen Sung
Recent advances in multimodal retrieval have improved the ability to retrieve information from visually rich documents such as PDFs and reports. However, existing benchmarks remain…
cs.AI2026
KoVRE: Training an Efficient Embedding Model for Korean Visual Document Retrieval
Yongbin Choi, Gyuho Shim, Youngjoon Jang
Visual Document Retrieval (VDR) directly matches text queries against document images, preserving visual and structural information that may be lost during text extraction. However…